Job Snapshot

Job Description

Senior Data Analyst

Real Data Factory, RWAS Technology

The promise of big data for health is tantalizing. It gets bigger and faster almost by the minute, but it is unstructured, messy. And patient privacy must be protected without fail. Embracing data science to make sense of data is part of the answer, but traditional data science alone doesn’t solve the unique challenges that come from non-identified human data.

In this role, you will develop a full understanding of all relevant EMR (Electronic Medical Records) data sources and the Real Data Factory production system including any data transformations.

A typical day might include:

Leading the data analyst function and sharing expertise with other project team members

Working with Data Modelers to support the mapping of new data sources

Deploying knowledge & expertise to support User Acceptance Testing of new deliverables and developments

Creating data comparisons of outputs from different systems and discover root cause of any differences.

Working with local offices, central and hub production teams to enhance quality assurance approach and reporting

Extracting relevant information from a wide variety of data sources and manipulate using SQL to produce reports and presentations that deliver information in the most appropriate and impactful way

Managing personal workload and completing all tasks by agreed timelines or notify Scrum Master or Operations Managers of any risk arising in time for mitigation plans to be put in place

Responding in a highly professional manner to all challenges, wherever possible diagnosing the root causes or liaising with relevant internal staff to ensure timely resolutions

Supporting the execution and documentation of new production processes, quality processes and test results using globally recognised standards.

Advanced level of SQL programming and an aptitude for programming logic

Use of applied statistics

Excellent communicator with the ability to present complex results in a clear language avoiding technical jargon without sacrificing detail or meaning

Previous experience with healthcare or pharmaceutical data

Fluency in English (in addition to the local language, if applicable).

The Business Unit: Real-World & Analytics Solutions (RWAS) Technology

“Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.

We invite you to join IQVIA™.

IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.